Institute for Design-Driven Analytics

设计驱动分析研究所

基本信息

项目摘要

One of the great challenges of the information age is finding ways to effectively utilize the immense wealth of data acquired and stored by modern information systems including data from the internet, social media, connected devices and sensor technology. Analytics platforms are an emerging tool to develop metrics for data algorithm modelling on which businesses can predict trends, improve innovation and make productivity-boosting, fact-based decisions. Initially, data collection and interpretation relied heavily on descriptive analytics reports and visuals, explaining what happened in the past, and relied little on using analytics to predict the future (predictive analytics) or to make recommendations on how to do a job better (prescriptive analytics). We have incorporated these three aspects of analytics with principles of good design, into a methodology we call 'design-driven analytics' (DDA). Humber College is strategically located in the Greater Toronto Area, which is home to SMEs in multiple sectors, including technology, finance, health and manufacturing. Through this NSERC award, Humber's Institute for Design-Driven Analytics (IDDA) will employ an interdisciplinary approach, combining design, business analytics and connected technology, to develop competitive advantages for companies by investigating the relationship between business intelligence and DDA in an environment of emerging new technologies to encourage business innovation across a range of industry sectors. IDDA faculty and students will collaborate with local SMEs on applied research to develop DDA practices and products, providing a strong competitive advantage to the region. We will harness expertise from faculties across the College that incorporate analytics with the transformational power of advanced technology. Students will gain proficiency in data analytics tools, methods and interpretation and transfer this knowledge directly to industry via applied research, and upon graduation, they will help to fill data analytics and digital skills gaps.
信息时代的巨大挑战之一是找到有效利用现代信息系统获取和存储的大量数据的方法,包括来自互联网、社交媒体、联网设备和传感器技术的数据。分析平台是一种新兴工具,用于开发数据算法建模指标,企业可以利用该工具预测趋势、改进创新并做出基于事实的提高生产力的决策。最初,数据收集和解释在很大程度上依赖于描述性分析报告和视觉效果,解释过去发生的事情,很少依赖于使用分析来预测未来(预测性分析)或就如何更好地完成工作提出建议(规范性分析)。我们将分析的这三个方面与良好设计的原则结合起来,形成了一种我们称为“设计驱动分析”(DDA) 的方法。汉伯学院地理位置优越,位于大多伦多地区,这里是科技、金融、健康和制造等多个领域的中小企业的所在地。通过获得 NSERC 奖项,汉博设计驱动分析研究所 (IDDA) 将采用跨学科方法,将设计、业务分析和互联技术相结合,通过在新兴新技术环境中研究商业智能和 DDA 之间的关系,为公司开发竞争优势,从而鼓励各行业领域的业务创新。 IDDA教职员工和学生将与当地中小企业合作进行应用研究,开发DDA实践和产品,为该地区提供强大的竞争优势。我们将利用学院各院系的专业知识,将分析与先进技术的变革力量相结合。学生将熟练掌握数据分析工具、方法和解释,并通过应用研究将这些知识直接转移到行业,毕业后,他们将帮助填补数据分析和数字技能差距。

项目成果

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Grant, Ginger其他文献

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{{ truncateString('Grant, Ginger', 18)}}的其他基金

The Broadcast-Broadband Convergence Lab: Positioning Canada as a Leader in ATSC 3.0 Adoption and Multisectoral Business Models
广播宽带融合实验室:将加拿大定位为 ATSC 3.0 采用和多部门商业模式的领导者
  • 批准号:
    555886-2020
  • 财政年份:
    2021
  • 资助金额:
    $ 7.29万
  • 项目类别:
    College and Community Innovation Program
The Broadcast-Broadband Convergence Lab: Positioning Canada as a Leader in ATSC 3.0 Adoption and Multisectoral Business Models
广播宽带融合实验室:将加拿大定位为 ATSC 3.0 采用和多部门商业模式的领导者
  • 批准号:
    555886-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 7.29万
  • 项目类别:
    College and Community Innovation Program
Fast sensor pairing for Mero IoT
Mero IoT 的快速传感器配对
  • 批准号:
    549795-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 7.29万
  • 项目类别:
    Applied Research and Development Grants - Level 1
Feasibility of Electromagnetic Lenses
电磁透镜的可行性
  • 批准号:
    549114-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 7.29万
  • 项目类别:
    Applied Research and Development Grants - Level 1
Optimization of Inventory Management System
库存管理系统优化
  • 批准号:
    548387-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 7.29万
  • 项目类别:
    Applied Research and Development Grants - Level 1
Occupancy Management Solution
占用管理解决方案
  • 批准号:
    548382-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 7.29万
  • 项目类别:
    Applied Research and Development Grants - Level 1
Harmonic Mitigating Device and Power Factor Corrector
谐波抑制装置和功率因数校正器
  • 批准号:
    544863-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 7.29万
  • 项目类别:
    Applied Research and Development Grants - Level 1
Microcontroller based self contained material loader
基于微控制器的自给式物料装载机
  • 批准号:
    544764-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 7.29万
  • 项目类别:
    Applied Research and Development Grants - Level 1
Development of a Solid-State Catheter
固态导管的开发
  • 批准号:
    548965-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 7.29万
  • 项目类别:
    Applied Research and Development Grants - Level 1
Numerical Modeling of Fluids and Gas Migration in a Sanitary Landfill in the GTA, Combining Geophysical and Gas Emission Data
结合地球物理和气体排放数据,对大多伦多地区卫生填埋场中的流体和气体运移进行数值模拟
  • 批准号:
    544680-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 7.29万
  • 项目类别:
    Applied Research and Development Grants - Level 1

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